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Hemalatha, R.
- Effect of Ga3 and Foliar Nutrients along with Biofertilizers on Flower Quality,vase Life and Sucker Production of Anthurium (anthurium Andreanum Lind.) Cv. TROPICAL RED
Authors
1 Gandhi Krishi Vignana Kendra, Bengaluru Karnataka, IN
2 Gandhi Krishi Vignana Kendra, Bengaluru Karnataka
Source
The Asian Journal of Horticulture, Vol 8, No 2 (2013), Pagination: 686-689Abstract
An experiment was conducted to investigate the effect of GA3 and foliar nutrients along with bio-fertilizers on flower quality, vase life and sucker production of Anthurium cv. TROPICAL RED. Results showed that NPK @ 30:10:10 at 0.2 per cent foliar spray and GA3 at 100 ppm along with bio-fertilizers (Azospirillum, Phospho-bacteria and VAM each at 2 g per plant) significantly influenced the flower quality, vase life and sucker production of AnthuriumKeywords
Anthurium,GA3,NPK, azospirillum, Phospho-bacteria, VAM- Prognosticate the Drugs for Multiple Myeloma Patients by Using Gene Expression Technique with Polyclonal And Monoclonal Samples
Authors
1 Department of Computer Science, Tiruppur Kumaran College for Women, IN
Source
ICTACT Journal on Image and Video Processing, Vol 8, No 3 (2018), Pagination: 1673-1680Abstract
A major protest in cancer treatment is predicting the clinical response to anti-cancer drugs for each individual patient. For complex diseases such as Myeloma, characterized by high inter-patient variance, the implementation of precision medicine approaches is dependent upon understanding the pathological processes at the molecular level. Myeloma is one of the horrible diseases in the world claiming plurality of lives. Accurately predicting drug responses to Myeloma is a most important problem preventing oncologists’ efforts to ensemble the most powerful drugs to treat Myeloma, which is a ischolar_main goal in precision medicine. It entails the design of therapies that are matched for each individual patient. In this article, it considers a review of approaches that have been proposed to tackle the drug sensitivity prediction problem especially with respect to the personalized Cancer therapy. There are a total of 44 drug sensitivity prediction algorithms. In that the gene expression microarrays consistently provided the best predictive power of the individual profiling data sets; however, performance was increased by including multiple, independent data sets. The proposed algorithm surpassed Bayesian Multitask Multiple Kernel Learning (BMMKL) classification which currently represent the state-of-the-art in drug-response prediction and finally passed the gene expression data to Cytoscape for visualization.Keywords
Drug Sensitivity Prediction, Gene Expression Microarrays, Prediction Algorithms.References
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- Monosodium Glutamate (MSG) - A Food Additive
Authors
1 Pathology and Microbiology Division, National Institute of Nutrition, Indian Council of Medical Research, Hyderabad - 500 007, IN
Source
The Indian Journal of Nutrition and Dietetics, Vol 57, No 1 (2020), Pagination: 98-107Abstract
Monosodium glutamate (MSG) also known as glutamic acid is a non essential amino acid used as a flavor enhancer worldwide. MSG is found naturally in tomatoes, grapes, cheese, mushrooms and other foods. It is one of the most widely used food additive in commercial foods. Monosodium glutamate is believed to be associated with different health problems viz., obesity, asthma, metabolic disorders, Chinese restaurant syndrome, neurotoxic effects and detrimental effects on the reproductive organs. Literature showed MSG was associated with adverse side-effects particularly in animals including induction of obesity, diabetes, hepatotoxic, neurotoxic and genotoxic effects. Literature showed that increased consumption of monosodium glutamate may be associated with harmful health effects. Further Intensive research is required to explore monosodium glutamate–related molecular and metabolic mechanisms.
Keywords
Monosodium Glutamate, Flavour Enhancer, Food Additive, Chinese Restaurant Syndrome.References
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